Distributed controller clustering in software defined networks

Software Defined Networking (SDN) is an emerging promising paradigm for network management because of its centralized network intelligence. However, the centralized control architecture of the software-defined networks (SDNs) brings novel challenges of reliability, scalability, fault tolerance and i...

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Main Authors: Abdelaziz, Ahmed, Ang, Tan Fong, Gani, Abdullah, Garba, Usman, Khan, Suleman, Akhunzada, Adnan, Talebian, Hamid, Choo, Kim-Kwang Raymond
Format: Article
Published: Public Library of Science 2017
Subjects:
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author Abdelaziz, Ahmed
Ang, Tan Fong
Gani, Abdullah
Garba, Usman
Khan, Suleman
Akhunzada, Adnan
Talebian, Hamid
Choo, Kim-Kwang Raymond
author_facet Abdelaziz, Ahmed
Ang, Tan Fong
Gani, Abdullah
Garba, Usman
Khan, Suleman
Akhunzada, Adnan
Talebian, Hamid
Choo, Kim-Kwang Raymond
author_sort Abdelaziz, Ahmed
collection UM
description Software Defined Networking (SDN) is an emerging promising paradigm for network management because of its centralized network intelligence. However, the centralized control architecture of the software-defined networks (SDNs) brings novel challenges of reliability, scalability, fault tolerance and interoperability. In this paper, we proposed a novel clustered distributed controller architecture in the real setting of SDNs. The distributed cluster implementation comprises of multiple popular SDN controllers. The proposed mechanism is evaluated using a real world network topology running on top of an emulated SDN environment. The result shows that the proposed distributed controller clustering mechanism is able to significantly reduce the average latency from 8.1% to 1.6%, the packet loss from 5.22% to 4.15%, compared to distributed controller without clustering running on HP Virtual Application Network (VAN) SDN and Open Network Operating System (ONOS) controllers respectively. Moreover, proposed method also shows reasonable CPU utilization results. Furthermore, the proposed mechanism makes possible to handle unexpected load fluctuations while maintaining a continuous network operation, even when there is a controller failure. The paper is a potential contribution stepping towards addressing the issues of reliability, scalability, fault tolerance, and inter-operability.
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spelling um.eprints-192552018-10-12T02:32:14Z http://eprints.um.edu.my/19255/ Distributed controller clustering in software defined networks Abdelaziz, Ahmed Ang, Tan Fong Gani, Abdullah Garba, Usman Khan, Suleman Akhunzada, Adnan Talebian, Hamid Choo, Kim-Kwang Raymond QA75 Electronic computers. Computer science Software Defined Networking (SDN) is an emerging promising paradigm for network management because of its centralized network intelligence. However, the centralized control architecture of the software-defined networks (SDNs) brings novel challenges of reliability, scalability, fault tolerance and interoperability. In this paper, we proposed a novel clustered distributed controller architecture in the real setting of SDNs. The distributed cluster implementation comprises of multiple popular SDN controllers. The proposed mechanism is evaluated using a real world network topology running on top of an emulated SDN environment. The result shows that the proposed distributed controller clustering mechanism is able to significantly reduce the average latency from 8.1% to 1.6%, the packet loss from 5.22% to 4.15%, compared to distributed controller without clustering running on HP Virtual Application Network (VAN) SDN and Open Network Operating System (ONOS) controllers respectively. Moreover, proposed method also shows reasonable CPU utilization results. Furthermore, the proposed mechanism makes possible to handle unexpected load fluctuations while maintaining a continuous network operation, even when there is a controller failure. The paper is a potential contribution stepping towards addressing the issues of reliability, scalability, fault tolerance, and inter-operability. Public Library of Science 2017 Article PeerReviewed Abdelaziz, Ahmed and Ang, Tan Fong and Gani, Abdullah and Garba, Usman and Khan, Suleman and Akhunzada, Adnan and Talebian, Hamid and Choo, Kim-Kwang Raymond (2017) Distributed controller clustering in software defined networks. PLoS ONE, 12 (4). e0174715. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0174715 <https://doi.org/10.1371/journal.pone.0174715>. http://dx.doi.org/10.1371/journal.pone.0174715 doi:10.1371/journal.pone.0174715
spellingShingle QA75 Electronic computers. Computer science
Abdelaziz, Ahmed
Ang, Tan Fong
Gani, Abdullah
Garba, Usman
Khan, Suleman
Akhunzada, Adnan
Talebian, Hamid
Choo, Kim-Kwang Raymond
Distributed controller clustering in software defined networks
title Distributed controller clustering in software defined networks
title_full Distributed controller clustering in software defined networks
title_fullStr Distributed controller clustering in software defined networks
title_full_unstemmed Distributed controller clustering in software defined networks
title_short Distributed controller clustering in software defined networks
title_sort distributed controller clustering in software defined networks
topic QA75 Electronic computers. Computer science
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